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import os
from fastapi import FastAPI, File, UploadFile
from langchain_community.document_loaders import PyMuPDFLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.embeddings import HuggingFaceEmbeddings
from langchain_community.vectorstores import Chroma
app = FastAPI()
@app.post("/upload")
async def upload_pdf(file: UploadFile = File(...)):
file_location = f"uploads/{file.filename}"
with open(file_location, "wb") as f:
f.write(await file.read())
loader = PyMuPDFLoader(file_location)
docs = loader.load()
splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
chunks = splitter.split_documents(docs)
embedding = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2")
vectordb = Chroma.from_documents(chunks, embedding, persist_directory="chroma_db")
vectordb.persist()
return {"message": f"✅ {file.filename} uploaded and processed into vector DB."}
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